Jiří Pikula
- Ecology, Evolution, Behavior and Systematics top 1%
- Infectious Diseases top 5%
- Genetics top 5%
- Ecology top 5%
- Molecular Biology
- Co-authors
- Hana BanďouchováJan ZukalMiroslav PohankaMiroslava BeklováNatália MartínkováFrantišek TremlVeronika KováčováTomáš Bartonička
- Topics
- Bat Biology and Ecology Studies (47 papers)Viral Infections and Vectors (33 papers)Yersinia bacterium, plague, ectoparasites research (31 papers)
In The Last Decade
Jiří Pikula
159 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 134
- Ecology, Evolution, Behavior and Systematics 878
- Infectious Diseases 546
- Genetics 477
- Ecology 452
- Molecular Biology 310
Countries citing papers authored by Jiří Pikula
This map shows the geographic impact of Jiří Pikula's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jiří Pikula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiří Pikula more than expected).
Fields of papers citing papers by Jiří Pikula
This network shows the impact of papers produced by Jiří Pikula. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jiří Pikula. The network helps show where Jiří Pikula may publish in the future.
Co-authorship network of co-authors of Jiří Pikula
This figure shows the co-authorship network connecting the top 25 collaborators of Jiří Pikula. A scholar is included among the top collaborators of Jiří Pikula based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiří Pikula. Jiří Pikula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 30 | |
| 9 | 17 | |
| 10 | 24 | |
| 11 | 2 | |
| 12 | 93 | |
| 13 | 13 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | D-Lactate Dehydrogenase (Cytochrome) from Saccharomyces cerevisiae Purification by Fast Protein Liquid Chromatography | 1 |
| 18 | EMPLOYING VOLTAMMETRY FOR DETERMINATION OF LOW MOLECULAR MASS THIOLS AND METALLOTHIONEIN IN BLOOD OF PIG (SUS SCROFA DOMESTICA) | 1 |
| 19 | 20 | |
| 20 | Losses, fertility and hatchability of Phasianus colchicus eggs during the circadian time course of egg laying in cage stock. | 1 |
About Jiří Pikula
Jiří Pikula is a scholar working on Ecology, Evolution, Behavior and Systematics, Virology and Health, Toxicology and Mutagenesis, having authored 172 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (47 papers), Viral Infections and Vectors (33 papers) and Yersinia bacterium, plague, ectoparasites research (31 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (878 citations), Infectious Diseases (546 citations) and Virology (124 citations). Jiří Pikula has collaborated with scholars based in Czechia, Russia and Slovakia. Frequent co-authors include Hana Banďouchová, Jan Zukal, Miroslav Pohanka, Miroslava Beklová, Natália Martínková, František Treml, Veronika Kováčová, Tomáš Bartonička, Jana Sedláčková and René Kizek. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Journal of Virology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.